Yu-Min Wang

40 papers receiving 1.7k citations

Yu-Min Wang's Hit Papers

What drives students’ AI learning behavior: a perspective of AI anxiety 2022 · 104 citations
1040+6+13Years since publication100200300400500

Peers

Yu-Min Wang
Comparison fields: 5 of 105
  • Information Systems and Management 701
  • Management Information Systems 389
  • Business and International Management 80
  • Communication 234
  • Organizational Behavior and Human Resource Management 265
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Citations per year

Countries citing papers authored by Yu-Min Wang

Since Specialization
Citations

This map shows the geographic impact of Yu-Min Wang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yu-Min Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu-Min Wang more than expected).

Fields of papers citing papers by Yu-Min Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu-Min Wang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yu-Min Wang. The network helps show where Yu-Min Wang may publish in the future.

Co-authors

The 25 scholars most cited alongside Yu-Min Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yu-Min Wang Line = papers co-authored together Yu-Min Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Measuring KMS success: A respecification of the DeLone and McLean's model
Hit paper breakdown →
2006569
2
An Empirical Analysis of the Antecedents and Performance Consequences of Using the Moodle Platform
Hit paper breakdown →
2013314
3 2005157
4
What drives students’ AI learning behavior: a perspective of AI anxiety
Hit paper breakdown →
2022104
5 202176
6 202266
7 201665
8 200559
9 200641
10 201937
11 201732
12 202227
13 202125
14 202223
15 201521
16 202118
17 201317
18 202316
19 200815
20 202215

About Yu-Min Wang

Yu-Min Wang is a scholar working on Information Systems and Management, Sociology and Political Science, Organizational Behavior and Human Resource Management, Artificial Intelligence and Management of Technology and Innovation, having authored 43 papers that have together received 1.8k indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (19 papers), Digital Marketing and Social Media (8 papers), Customer Service Quality and Loyalty (6 papers), Entrepreneurship Studies and Influences (5 papers), Innovation and Socioeconomic Development (4 papers), Knowledge Management and Sharing (3 papers), Advanced Authentication Protocols Security (3 papers) and Innovation and Knowledge Management (3 papers). The work is most often cited by research in Information Systems and Management (701 citations), Management Information Systems (389 citations), Business and International Management (80 citations), Communication (234 citations) and Organizational Behavior and Human Resource Management (265 citations). Yu-Min Wang has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Jen‐Her Wu, Peian Wang, Chun‐Che Huang, Yi‐Shun Wang, Hsin‐Hui Lin, Sheng‐Ching Wang, Clyde W. Holsapple, Ching‐Hsuan Yeh, Chei‐Chang Chiou and Timmy H. Tseng. Their work appears in journals such as The International Journal of Management Education, The Police Journal Theory Practice and Principles, Computers in Human Behavior, Interactive Learning Environments and International Journal of Human-Computer Interaction.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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